Session Title: Application of Artificial Intelligence Technology in Electric Power System
Owing to the strong uncertainty and fluctuation of various power generations, power systems are becoming more sophisticated. Traditional model-based methods will be difficult to address the analysis, scheduling and control problems of the future power systems. Artificial intelligence (AI), as a data-driven approach, can directly learn useful information from massive data to deal with complex nonlinear problems without making any assumptions and simplifications. The fields of Al, e.g., deep learning and reinforcement leaning (RL), has made great progress in recent years. Advanced Al approaches can promote the development of power systems. The application of intelligent techniques in power systems can achieve a substantial improvement in predicting the optimal solutions of design and scheduling variables. Regression techniques learn patterns from massive data, so they can be used to monitor and predict power generations. Additionally, advanced classification techniques can be applied to assess the security and stability of integrated energy systems. RL techniques can provide operators with emergency control actions amid the uncertainties of energy systems.
The objective of this Special Session is to explore the application of AI in the electric power systems. Original research and review articles in theoretical, methodological, or practical focuses, such as models, policies, algorithms, and applications, are all welcome.
- 1) The application of AI in the electric market operation
- 2) AI-based electric demand response
- 3) AI-based effective reliability evaluation of power systems
- 4）AI-driven optimization for renewable energy integration
- 5）AI-enhanced fault detection and diagnosis in power systems
Research areas may include (but are not limited to) the following:
Special Session Chairs
Jiawen Li
Shanghai University of Electric Power, China
Jiawen Li , PhD, has published dozens of papers in international SCI journals, and many papers have been rated as highly cited papers and hot topics in ESI., he is currently a assistant professor with Shanghai Electric Power University. He has great research on the application of artificial intelligence methods in power systems.
Minglei Bao
Zhejiang University, China
Minglei Bao is a ZJU new 100 Research Professor with the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research directions include reliability analysis of multi-energy systems, power market and etc. He has published more than 30 papers in journals such as IEEE Trans. and Applied Energy.
Nan Yang
The University of Sydney, Australia
Nan Yang is currently a Research Associate / Lecturer at the University of Sydney. Her research areas include Machine Learning, Artificial Intelligence, and AI application of power systems. She has published many papers in international conferences and SCI journals.